Madhushi Verma

21 papers Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Exp. Theor. Artif. Intell.
Kanak Manjari, Madhushi Verma, Gaurav Singal, Vinay Chamola
2025 J jnl
SN Comput. Sci.
Ujjwal Kadam, Riti Kushwaha, Arvind Meena, Chaudhary Abuzar, Ujjwal, Gaurav Singal, Madhushi Verma
2024 J jnl
Knowl. Eng. Rev.
Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Samya Muhuri
2024 J jnl
IEEE Access
Deepak Thakur, Tanya Gera, Ambika Aggarwal, Madhushi Verma, Manjit Kaur, Dilbag Singh, Mohammed Amoon
2023 J jnl
IEEE Access
Divya Srivastava, Shashank Sheshar Singh, Bakthula Rajitha, Madhushi Verma, Manjit Kaur, Heung-No Lee
2023 J jnl
Neural Comput. Appl.
Disha Deotale, Madhushi Verma, P. Suresh, Neeraj Kumar
2023 J jnl
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Kanak Manjari, Madhushi Verma, Gaurav Singal, Suyel Namasudra
2023 J jnl
Soft Comput.
Gourav Bathla, Pardeep Singh, Sunil Kumar, Madhushi Verma, Deepak Garg, Ketan Kotecha
2022 J jnl
IEEE Access
Gagan Deep Singh, Manish Prateek, Sunil Kumar, Madhushi Verma, Dilbag Singh, Heung-No Lee
2022 J jnl
J. King Saud Univ. Comput. Inf. Sci.
Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Jagendra Singh
2022 J jnl
J. Electronic Imaging
Disha Deotale, Madhushi Verma, Perumbure Suresh, Ketan Kotecha
2022 J jnl
Cogn. Comput.
Kanak Manjari, Madhushi Verma, Gaurav Singal, Neeraj Kumar
2021 conf
IC3
Vaishali Baviskar, Madhushi Verma, Pradeep Chatterjee
2020 J jnl
Internet Things
Kanak Manjari, Madhushi Verma, Gaurav Singal
2019 conf
ICRAI
Madhushi Verma, Kaushal K. Shukla
2019 conf
iSCI
Kanak Manjari, Madhushi Verma, Gaurav Singal
2019 conf
SITIS
Kanak Manjari, Madhushi Verma, Gaurav Singal
2018 conf
SSCI
Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, Aruna Tiwari, Madhushi Verma
2016 J jnl
IEEE Trans. Fuzzy Syst.
Madhushi Verma, Kaushal K. Shukla
2015 J jnl
Adv. Fuzzy Syst.
Madhushi Verma, Kaushal K. Shukla
2013 J jnl
Int. J. Fuzzy Syst. Appl.
Madhushi Verma, Kaushal K. Shukla
redb/extractors/macho_extractors/macho_imports.py
← Index redb/extractors/macho_extractors/macho_imports.py python
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOImport


class MachOImportExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_imports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_IMPORT.value

    def _extract_imports(self, arch_name=None):
        """Extract import information from the MachO binary for a specific architecture.

        Handles machofile v2026.2.4+ API where get_imported_functions() returns:
        Dict[str, List[Dict]] where each dict has {'name': str, 'sources': [str, ...]}
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get imported functions using API for specific architecture
            imported_functions = self.macho.get_imported_functions(arch=arch_name)
            if not imported_functions:
                return None

            # Keep the library→functions mapping (like PE does)
            library_names = []
            imports_with_mapping = []  # List of {library: [(name, source), ...]}

            for dylib_name, functions in imported_functions.items():
                # v2026.2.4+: dylib_name is already str, but handle bytes for compatibility
                if isinstance(dylib_name, bytes):
                    dylib_name = dylib_name.decode('utf-8', errors='replace')
                library_names.append(dylib_name)

                # Process function entries
                func_list = []
                for func_entry in functions:
                    # v2026.2.4+: func_entry is {'name': str, 'sources': [str, ...]}
                    if isinstance(func_entry, dict):
                        func_name = func_entry.get('name', '')
                        # Join sources if multiple, take first if single
                        sources = func_entry.get('sources', [])
                        import_source = sources[0] if sources else None
                        func_list.append((func_name, import_source))
                    else:
                        # Legacy format: func_entry is str or bytes
                        if isinstance(func_entry, bytes):
                            func_entry = func_entry.decode('utf-8', errors='replace')
                        func_list.append((func_entry, None))

                imports_with_mapping.append({dylib_name: func_list})

            # Count total functions
            total_functions = sum(len(list(d.values())[0]) for d in imports_with_mapping)

            # Create import dataclass with mapping preserved
            macho_import = MachOImport(
                macho_imports_total=total_functions,
                macho_import_libraryName=library_names if library_names else None,
                macho_import_functions=imports_with_mapping if imports_with_mapping else None
            )

            return macho_import

        except Exception as e:
            self.log.error(f"Error extracting MachO imports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of imports for each architecture
                results = []
                for arch_name in architectures:
                    imports = self._extract_imports(arch_name)
                    if imports:
                        imports.arch_identifier = arch_name
                        results.append(imports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_imports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO imports: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            # Flatten the data - one row per function import (like PE imports)
            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get imports for this architecture
                macho_import = self._extract_imports(arch_name)
                if not macho_import or not macho_import.macho_import_functions:
                    continue

                # Flatten to one row per (library, function) pair
                for lib_funcs in macho_import.macho_import_functions:
                    for lib, funcs in lib_funcs.items():
                        for func_name, import_source in funcs:
                            data.append([
                                arch_sha256,        # sha256 (arch-specific)
                                lib,                # library_name
                                func_name,          # function_name
                                import_source,      # import_source (chained_fixups, bind_opcodes, symtab)
                                current_time,       # analysis_date
                            ])

            column_names = [
                'sha256',
                'library_name', 'function_name', 'import_source',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'LowCardinality(String)', 'LowCardinality(String)', 'LowCardinality(Nullable(String))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_imports"